Metadata
Science Graduate Apply Medium
Metadata
  • Subject

    Science

  • Education level

    Graduate

  • Cognitive goals

    Apply

  • Difficulty estimate

    Medium

  • Tags

    enzyme kinetics, Michaelis–Menten, inhibition, Lineweaver-Burk, Ki, data analysis

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess ability to analyze initial-rate enzymatic data collected at multiple substrate and inhibitor concentrations to identify inhibition mechanism (competitive, noncompetitive, uncompetitive, mixed). Students will apply Michaelis–Menten equations and linear transformations (Lineweaver–Burk, Eadie–Hofstee) and nonlinear curve-fitting to estimate Km, Vmax, Ki, interpret parameter changes and plots, and justify mechanism assignments while noting experimental limitations.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.